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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Generative AI & Agentic Systems

Apex Horizon Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to architect the intelligent systems of tomorrow? Apex Horizon Systems is pioneering the next generation of autonomous AI agents and generative models. We are seeking a visionary Senior AI/ML Engineer to join our elite R&D division and help define the technological landscape for 2026 and beyond.

In this role, you won't just train models; you will build the brain of future enterprise ecosystems. You will work at the intersection of deep learning, distributed systems, and human-computer interaction to deliver scalable, ethical, and groundbreaking AI solutions.

Why join us?

  • Work on cutting-edge Agentic AI workflows.
  • Competitive salary and equity package.
  • Top-tier benefits and remote-first culture.

Responsibilities

  • Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) and multimodal transformers optimized for 2026 deployment.
  • Architect scalable inference pipelines and microservices for autonomous AI agents.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Optimize model performance for latency, throughput, and resource efficiency on edge devices.
  • Implement rigorous testing and evaluation frameworks to ensure model reliability and safety.
  • Conduct research into novel neural architectures and optimization techniques.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent industry experience).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of NLP, Transformers, and generative adversarial networks (GANs).
  • Experience deploying AI models in production environments using cloud infrastructure (AWS, GCP, or Azure).
  • Deep knowledge of distributed computing concepts (Kubernetes, Docker, Apache Kafka).
  • Proven track record of publishing research or delivering high-impact AI products.

Required Skills

Python PyTorch TensorFlow NLP LLMs Generative AI Machine Learning Deep Learning Kubernetes Docker AWS GCP CUDA Natural Language Processing PyTorch MLOps

Ready to Take This Challenge?

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